Triple

T27634455
Position Surface form Disambiguated ID Type / Status
Subject Brightest Blue E696431 entity
Predicate hasTrack P3284 FINISHED
Object How Deep Is Too Deep
"How Deep Is Too Deep" is a song by English singer Ellie Goulding from her 2020 studio album "Brightest Blue."
 E1782065 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: How Deep Is Too Deep | Statement: [Brightest Blue, hasTrack, How Deep Is Too Deep]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: How Deep Is Too Deep
Triple: [Brightest Blue, hasTrack, How Deep Is Too Deep]
Generated description
"How Deep Is Too Deep" is a song by English singer Ellie Goulding from her 2020 studio album "Brightest Blue."

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63126f3e08190a32c02b24aae3c7c completed May 2, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0fc0e0c8190bd99981c436d69f9 completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d1a71800819081268f9b793c0c66 completed May 24, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a12d23dc1b48190aa7f52797b82db62 completed May 24, 2026, 10:26 a.m.
Created at: April 27, 2026, 2:23 p.m.